Instructions to use BiliSakura/JiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/JiT-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/JiT-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 313 Bytes
2a4c86a | 1 2 3 4 5 6 7 8 9 10 11 12 | from .modeling_jit_transformer_2d import JiTTransformer2DModel, JiTDiffusersModel
from .pipeline_jit import JiTPipeline, JiTPipelineOutput
from .scheduling_jit import JiTScheduler
__all__ = [
"JiTTransformer2DModel",
"JiTDiffusersModel",
"JiTPipeline",
"JiTPipelineOutput",
"JiTScheduler",
]
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